Study of Automatic Inspection of Impurities in Bottled Medical Solution Based on Machine Vision

This paper presents a method of inspection of impurities in bottled medical solution based on machine vision. Apparatus of the experiment includes a rotating table, a LED illumination, a CCD camera, and an image processor. The image-processing program is designed in Visual C++, which is on the basis of the difference of adjacent frames of images. The bottle to be detected rotates at a high speed, and the solution with impurities is moving fast with the bottle. When the rotation of the bottle stops, the CCD camera acquires five images successively, which are then sent to the image processor. After image processing and analysis, it can be told if there is any impurity detected. Statistical analyses are employed to provide an appropriate threshold and a classifier is trained to get a correct result. The method in the paper can be used in automating the inspection of bottled medical solutions. Experiments show that the impurities of a diameter larger than 0.5mm can be detected with this method.
inspection of impurities machine vision bottled medical solution image processing
JIA Qianqian WANG Boxiong WEN Jiangtao LUO Xiuzhi
State Key Laboratory of Precision Measurement Technology and Instruments, Dept. of Precision Instruments and Mechanology, Tsinghua University,Beijing, 100084, P. R. China,
国际会议
北京
英文
2007-08-05(万方平台首次上网日期,不代表论文的发表时间)